文章摘要
曾正,邵伟华.基于线性化模型的虚拟同步发电机惯性和阻尼辨识[J].电力系统自动化,2017,41(10):37-43. DOI: 10.7500/AEPS20160729002.
ZENG Zheng,SHAO Weihua.Estimation of Inertia and Damping for Virtual Synchronous Generator Based on Linearized Model[J].Automation of Electric Power Systems,2017,41(10):37-43. DOI: 10.7500/AEPS20160729002.
基于线性化模型的虚拟同步发电机惯性和阻尼辨识
Estimation of Inertia and Damping for Virtual Synchronous Generator Based on Linearized Model
DOI:10.7500/AEPS20160729002
关键词: 虚拟同步发电机  惯性和阻尼  参数辨识  最小二乘法
KeyWords: virtual synchronous generator  inertia and damping  parameter estimation  least-square method
上网日期:2017-03-14
基金项目:重庆市基础科学与前沿技术研究专项资助项目(cstc2016jcyjA0108);中央高校基本科研业务费专项资金资助项目(106112015CDJXY150005);国家电网公司科技项目(SGHADK00PJJS1500060)
作者单位E-mail
曾正 输配电装备及系统安全与新技术国家重点实验室(重庆大学), 重庆市 400044 zengerzheng@126.com 
邵伟华 输配电装备及系统安全与新技术国家重点实验室(重庆大学), 重庆市 400044  
摘要:
      针对并网逆变器的虚拟同步发电机(VSG)控制,提出了一种VSG实际输出惯性和阻尼的辨识方法,以定量量化VSG参与电网调节能力的强弱。基于VSG的二阶非线性模型,及其在工作点附近的小信号摄动处理,建立了VSG的线性化传递函数模型,给出了其离散化模型及其与VSG惯性和阻尼参数之间的关系,分析了线性化模型的误差大小和适用范围。利用VSG的输出功率阶跃扰动,激励出VSG的功率振荡模态信息,并利用最小二乘估计的方法,辨识出VSG实际输出的惯性和阻尼参数。最后,针对并网逆变器的常规控制方法和VSG控制方法,利用仿真分析和实验结果,验证了所提模型和方法的可行性和有效性。
Abstract:
      For the control of virtual synchronous generator(VSG)of grid-connected inverter, an approach is proposed to estimate the produced inertia and damping of VSG. Thus, the capability of VSG to participate in power grid adjustment can be quantified. Based on the second-order nonlinear model of VSG and its small signal perturbation processing ability near the working point, a linearized model for VSG is proposed. The discrete model of the linearized model is derived and its relation with inertia and damping parameters of VSG is given. The error magnitude and effective range of the linearized model are proposed. Using the output power step disturbance of VSG, the modal information on power oscillation of VSG is energized. Then, the least-square method is utilized to estimate actual inertia and damping parameters of VSG. Finally, by taking the normal control and VSG control into account, simulated results and experimental measurements have confirmed the possibility and effectiveness of the proposed model and approach. This work is supported by Chongqing Research Program of Basic Research and Frontier Technology(No. cstc2016jcyjA0108), Fundamental Research Funds for the Central Universities(No. 106112015CDJXY150005)and State Grid Corporation of China(No. SGHADK00PJJS1500060).
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